Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis
Abstract Abdominal aortic aneurysm (AAA) is a severe vascular condition, marked by the progressive dilation of the abdominal aorta, leading to rupture if untreated. The objective of this study was to identify key biomarkers and decipher the immune mechanisms underlying AAA utilising multi‐omics data...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Systems Biology |
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| Online Access: | https://doi.org/10.1049/syb2.12106 |
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| _version_ | 1846110610268356608 |
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| author | Xi Yong Xuerui Hu Tengyao Kang Yanpiao Deng Sixuan Li Shuihan Yu Yani Hou Jin You Xiaohe Dai Jialin Zhang Junjia Zhang Junlin Zhou Siyu Zhang Jianghua Zheng Qin Yang Jingdong Li |
| author_facet | Xi Yong Xuerui Hu Tengyao Kang Yanpiao Deng Sixuan Li Shuihan Yu Yani Hou Jin You Xiaohe Dai Jialin Zhang Junjia Zhang Junlin Zhou Siyu Zhang Jianghua Zheng Qin Yang Jingdong Li |
| author_sort | Xi Yong |
| collection | DOAJ |
| description | Abstract Abdominal aortic aneurysm (AAA) is a severe vascular condition, marked by the progressive dilation of the abdominal aorta, leading to rupture if untreated. The objective of this study was to identify key biomarkers and decipher the immune mechanisms underlying AAA utilising multi‐omics data analysis and machine learning techniques. Single‐cell RNA sequencing disclosed a heightened presence of macrophages and CD8‐positive alpha‐beta T cells in AAA, highlighting their critical role in disease pathogenesis. Analysis of cell–cell communication highlighted augmented interactions between macrophages and dendritic cells derived from monocytes. Enrichment analysis of differential expression gene indicated substantial involvement of immune and metabolic pathways in AAA pathogenesis. Machine learning techniques identified CCR7 and CBX6 as key candidate biomarkers. In AAA, CCR7 expression is upregulated, whereas CBX6 expression is downregulated, both showing significant correlations with immune cell infiltration. These findings provide valuable insights into the molecular mechanisms underlying AAA and suggest potential biomarkers for diagnosis and therapeutic intervention. |
| format | Article |
| id | doaj-art-6997b859182e43e09da762cd8cc1d65e |
| institution | Kabale University |
| issn | 1751-8849 1751-8857 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Systems Biology |
| spelling | doaj-art-6997b859182e43e09da762cd8cc1d65e2024-12-23T18:41:56ZengWileyIET Systems Biology1751-88491751-88572024-12-0118625026010.1049/syb2.12106Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysisXi Yong0Xuerui Hu1Tengyao Kang2Yanpiao Deng3Sixuan Li4Shuihan Yu5Yani Hou6Jin You7Xiaohe Dai8Jialin Zhang9Junjia Zhang10Junlin Zhou11Siyu Zhang12Jianghua Zheng13Qin Yang14Jingdong Li15Department of Vascular Surgery Affiliated Hospital of North Sichuan Medical College Nanchong ChinaDepartment of Endocrine Affiliated Hospital of North Sichuan Medical College Nanchong ChinaDepartment of Vascular Surgery Affiliated Hospital of North Sichuan Medical College Nanchong ChinaDepartment of Clinical Medicine North Sichuan Medical College Nanchong ChinaDepartment of Clinical Medicine North Sichuan Medical College Nanchong ChinaDepartment of Clinical Medicine North Sichuan Medical College Nanchong ChinaDepartment of Clinical Medicine North Sichuan Medical College Nanchong ChinaDepartment of Clinical Medicine North Sichuan Medical College Nanchong ChinaDepartment of Clinical Medicine North Sichuan Medical College Nanchong ChinaDepartment of Clinical Medicine North Sichuan Medical College Nanchong ChinaDepartment of Clinical Medicine North Sichuan Medical College Nanchong ChinaDepartment of Clinical Medicine North Sichuan Medical College Nanchong ChinaDepartment of Clinical Medicine North Sichuan Medical College Nanchong ChinaDepartment of Vascular Surgery Affiliated Hospital of North Sichuan Medical College Nanchong ChinaDepartment of Infectious Diseases Affiliated Hospital of North Sichuan Medical College Nanchong ChinaHepatobiliary Pancreatic and Intestinal Research Institute of North Sichuan Medical College Nanchong ChinaAbstract Abdominal aortic aneurysm (AAA) is a severe vascular condition, marked by the progressive dilation of the abdominal aorta, leading to rupture if untreated. The objective of this study was to identify key biomarkers and decipher the immune mechanisms underlying AAA utilising multi‐omics data analysis and machine learning techniques. Single‐cell RNA sequencing disclosed a heightened presence of macrophages and CD8‐positive alpha‐beta T cells in AAA, highlighting their critical role in disease pathogenesis. Analysis of cell–cell communication highlighted augmented interactions between macrophages and dendritic cells derived from monocytes. Enrichment analysis of differential expression gene indicated substantial involvement of immune and metabolic pathways in AAA pathogenesis. Machine learning techniques identified CCR7 and CBX6 as key candidate biomarkers. In AAA, CCR7 expression is upregulated, whereas CBX6 expression is downregulated, both showing significant correlations with immune cell infiltration. These findings provide valuable insights into the molecular mechanisms underlying AAA and suggest potential biomarkers for diagnosis and therapeutic intervention.https://doi.org/10.1049/syb2.12106bioinformaticsdata analysisdata miningdiseasessupport vector machines |
| spellingShingle | Xi Yong Xuerui Hu Tengyao Kang Yanpiao Deng Sixuan Li Shuihan Yu Yani Hou Jin You Xiaohe Dai Jialin Zhang Junjia Zhang Junlin Zhou Siyu Zhang Jianghua Zheng Qin Yang Jingdong Li Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis IET Systems Biology bioinformatics data analysis data mining diseases support vector machines |
| title | Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis |
| title_full | Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis |
| title_fullStr | Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis |
| title_full_unstemmed | Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis |
| title_short | Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis |
| title_sort | identification of ccr7 and cbx6 as key biomarkers in abdominal aortic aneurysm insights from multi omics data and machine learning analysis |
| topic | bioinformatics data analysis data mining diseases support vector machines |
| url | https://doi.org/10.1049/syb2.12106 |
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